RAG System
Specialized search and Q&A system for gaming internal resources — dialogues, items, regional lore. Vectorizing unstructured game data into a Vector Database to enable LLMs to provide context-aware responses.
Cloud Services professional focused on data center stability and core infrastructure. Combining self-taught programming with AI integration to deliver technical excellence.
Specialized search and Q&A system for gaming internal resources — dialogues, items, regional lore. Vectorizing unstructured game data into a Vector Database to enable LLMs to provide context-aware responses.
Diagnostic tool for measuring retrieval performance and visualizing vectorized data using Three.js — a crucial component for RAG system quality assurance.
Personalized AI assistant inspired by Neuro-sama and Sovits_GPT, focused on local execution (≤ 8B models). Fine-tuning English models for enhanced Korean proficiency with voice interaction.
Information aggregation tool for tracking Economics, Society, Politics, and Diplomacy trends. Future roadmap: integrating AI Agents for autonomous intelligence categorization and summarization.
Developed a beef quality classification model. Successfully improved accuracy from 50% to 89% through optimization and data analysis.
Committed to stable data center server management and high-availability network operations.
Rapidly acquiring new technologies and internalizing operational manuals for proactive task execution.
Systematic management of data powering AI. Bridging existing tools and groundbreaking implementation.
I'm always open to new opportunities and collaborations.